Reduced-order LPV model of flexible wind turbines from high fidelity aeroelastic codes

Fabiano Daher Adegas, Ivan Bergquist Sønderby, Morten Hartvig Hansen, Jakob Stoustrup

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Linear aeroelastic models used for stability analysis of wind turbines are commonly of very high order. These high-order models are generally not suitable for control analysis and synthesis. This paper presents a methodology to obtain a reduced-order linear parameter varying (LPV) model from a set of high-order linear time invariant (LTI) models. Firstly, the high-order LTI models are locally approximated using modal and balanced truncation and residualization. Then, an appropriate coordinate transformation is applied to allow interpolation of the model matrices between points on the parameter space. The obtained LPV model is of suitable size for designing modern gain-scheduling controllers based on recently developed LPV control design techniques. Results are thoroughly assessed on a set of industrial wind turbine models generated by the recently developed aeroelastic code HAWCStab2.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Control Applications (CCA)
PublisherIEEE
Publication date2013
Pages424 - 429
ISBN (Print)9781479915590
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Control Applications - Hyderabad, India
Duration: 28 Aug 201330 Aug 2013

Conference

Conference2013 IEEE International Conference on Control Applications
CountryIndia
CityHyderabad
Period28/08/201330/08/2013

Keywords

  • Aerospace
  • Bioengineering
  • Robotics and Control Systems

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